Kling AI Job Monitoring Overview Every Kling AI generation returns a . This skill covers polling strategies, batch tracking, timeout handling, and callback-based monitoring for the , , and endpoints. Task Lifecycle | Status | Meaning | Typical Duration | |--------|---------|-----------------| | | Queued for processing | 0-30s | | | Generation in progress | 30-120s (standard), 60-300s (professional) | | | Complete, video URL available | Terminal | | | Generation failed | Terminal | Polling a Single Task Batch Job Tracker Stuck Task Detection Batch Monitor Loop Resources - Task Query API - Deve…